Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Computing method and device based on neural network

A neural network and computing method technology, which is applied in the field of computing methods and devices based on neural networks, can solve problems such as large calculation amount, demand, high memory, etc., and achieve the effect of low hardware requirements, less resource occupation, and less calculation amount

Inactive Publication Date: 2017-05-03
BEIJING KUANGSHI TECH +1
View PDF4 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional neural networks use double-precision or single-precision floating-point multiplication / addition calculations as the basic calculation unit. However, the algorithmic architecture of traditional neural networks will result in large computational requirements, high memory (or video memory) occupation, and high bandwidth requirements. problem, higher hardware requirements

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Computing method and device based on neural network
  • Computing method and device based on neural network
  • Computing method and device based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some embodiments of the present invention, rather than all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described here. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative effort shall fall within the protection scope of the present invention.

[0062]The general algorithm architecture of the traditional neural network is as follows: (1) Extract the input image into tensor form, and pass it into the trained floating-point computing neural network. (2) Floating-point computing Each computin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention provides a computing method based on a neural network. The method comprises the steps of receiving an original image; extracting a feature tensor of the original image; and processing the feature tensor based on a trained fixed-point neural network to generate an image thermodynamic diagram. The embodiment of the invention provides the computing method in which the neural network is achieved by a fixed-point method, as fixed-point computation is adopted, a computation amount is small, fewer resources are occupied, and thus requirements on hardware is low.

Description

technical field [0001] The present invention relates to the field of image processing, and more particularly relates to a calculation method and device based on a neural network. Background technique [0002] Neural Networks (NNs), also known as Artificial Neural Networks (ANNs) or Connection Model, is an algorithmic mathematical model that imitates the behavioral characteristics of animal neural networks and performs distributed parallel information processing. Relying on the complexity of the system, the neural network achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal computing nodes. [0003] Neural networks have been widely and successfully applied in many fields such as speech recognition, text recognition, and image and video recognition. Traditional neural networks use double-precision or single-precision floating-point multiplication / addition calculations as the basic calculation unit. How...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N3/08G06N3/04
CPCG06N3/08G06N3/045
Inventor 周舒畅梁喆张宇翔温和周昕宇
Owner BEIJING KUANGSHI TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com